Security Scan Report: 9kb9sw-mdu93-zas8l0-pugpq.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 2 domains to perform 8 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://9kb9sw-mdu93-zas8l0-pugpq.pages.dev/appeals/submit-appeal-form/return

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Confirmed Meta 'Page Appeal' phishing kit hosted on a disposable pages.dev subdomain. Analyst-vetted kit signatures plus brand impersonation make this a fake Facebook appeal funnel — do not submit any account details.

Risk Factors (5)
Known malicious phishing kit (Meta 'Page Appeal' family) confirmed by kit roster with two separate bundle cohorts
Impersonation of Meta/Facebook brand on an unrelated pages.dev subdomain
Disposable shared-hosting subdomain with no published creation date
Deceptive appeal/account-restriction social-engineering lure aimed at Facebook Business page owners
Page claims to have collected submitted appeal details ('the information you provided') while offering no verifiable Meta channel
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain '9kb9sw-mdu93-zas8l0-pugpq.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain '9kb9sw-mdu93-zas8l0-pugpq'. Count 5 characters in 'pages' containing two vowels alongside three consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://9kb9sw-mdu93-zas8l0-pugpq.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan 157f15d5

Page Load Overview

1.35s
Total Load Time
470 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,361 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network83% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
83%
technology software
64%
corporate business
36%
documentation technical
31%
e-commerce shopping
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
84--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14C027F9ACFA0567BEEC386DFB161BF6DB2CB149BC142A944B0F811C1C381F958D28536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gefqRp+K0kKnh0hZwB4DuLBqiuzIal1juTdk:geFNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8503:rgQQIAAiy58wADXBNIRRRUCgYSIVOuOEAIgQvSC6JQNRIm1FhlE6zNHCQSBRfEUdDJmx4UEvYU4JIEAABQZuMDBOiEmIoMqA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffe7e7e7efefc3e7
Perceptual Hash:f6668c998c669a39
Difference Hash:2a0e8c4c1c1c0c06
Wavelet Hash:ffc2c2c2c6c6c0c7
Color Hash:#40acbf

Other Hashes

Crop Resistant:2a0e8c4c1c1c0c06

Scan History

Scan history not available

Unable to load historical scan data